我有这个例子,我想知道如何得到这个结果。我有文字,我对它进行了标记,然后我收集了二元组和三元组以及四元组
import nltk
from nltk import word_tokenize
from nltk.util import ngrams
text = "Hi How are you? i am fine and you"
token=nltk.word_tokenize(text)
bigrams=ngrams(token,2)
bigrams:[('Hi', 'How'), ('How', 'are'), ('are', 'you'), ('you', '?'), ('?', 'i'), ('i', 'am'), ('am', 'fine'), ('fine', 'and'), ('and', 'you')]
trigrams=ngrams(token,3)
三卦:[('Hi', 'How', 'are'), ('How', 'are', 'you'), ('are', 'you', '?'), ('you', '?', 'i'), ('?', 'i', 'am'), ('i', 'am', 'fine'), ('am', 'fine', 'and'), ('fine', 'and', 'you')]
bigram [(a,b) (b,c) (c,d)]
trigram [(a,b,c) (b,c,d) (c,d,f)]
i want the new trigram should be [(c,d,f)]
which mean
newtrigram = [('are', 'you', '?'),('?', 'i','am'),...etc
任何想法都会有所帮助
答案 0 :(得分:8)
如果你运用一些集理论(如果我正确地解释你的问题),你会发现你想要的三元组只是元素[2:5],[4:7],[6] :{8}等token
列表。
您可以像这样生成它们:
>>> new_trigrams = []
>>> c = 2
>>> while c < len(token) - 2:
... new_trigrams.append((token[c], token[c+1], token[c+2]))
... c += 2
>>> print new_trigrams
[('are', 'you', '?'), ('?', 'i', 'am'), ('am', 'fine', 'and')]
答案 1 :(得分:3)
我这样做:
def words_to_ngrams(words, n, sep=" "):
return [sep.join(words[i:i+n]) for i in range(len(words)-n+1)]
这会将列表的单词作为输入,并返回ngrams列表(对于给定的n),由sep
分隔(在本例中为空格)。
答案 2 :(得分:1)
尝试everygrams
:
from nltk import everygrams
list(everygrams('hello', 1, 5))
[输出]:
[('h',),
('e',),
('l',),
('l',),
('o',),
('h', 'e'),
('e', 'l'),
('l', 'l'),
('l', 'o'),
('h', 'e', 'l'),
('e', 'l', 'l'),
('l', 'l', 'o'),
('h', 'e', 'l', 'l'),
('e', 'l', 'l', 'o'),
('h', 'e', 'l', 'l', 'o')]
单词令牌:
from nltk import everygrams
list(everygrams('hello word is a fun program'.split(), 1, 5))
[输出]:
[('hello',),
('word',),
('is',),
('a',),
('fun',),
('program',),
('hello', 'word'),
('word', 'is'),
('is', 'a'),
('a', 'fun'),
('fun', 'program'),
('hello', 'word', 'is'),
('word', 'is', 'a'),
('is', 'a', 'fun'),
('a', 'fun', 'program'),
('hello', 'word', 'is', 'a'),
('word', 'is', 'a', 'fun'),
('is', 'a', 'fun', 'program'),
('hello', 'word', 'is', 'a', 'fun'),
('word', 'is', 'a', 'fun', 'program')]
答案 3 :(得分:0)
from nltk.util import ngrams
text = "Hi How are you? i am fine and you"
n = int(input("ngram value = "))
n_grams = ngrams(text.split(), n)
for grams in n_grams :
print(grams)